Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation
Gábor Borbély, Márton Makrai, Dávid Márk Nemeskey, András Kornai
- Anthology ID:
- W16-2515
- Volume:
- Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP
- Month:
- August
- Year:
- 2016
- Address:
- Berlin, Germany
- Venue:
- RepEval
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 83–89
- Language:
- URL:
- https://aclanthology.org/W16-2515
- DOI:
- 10.18653/v1/W16-2515
- Cite (ACL):
- Gábor Borbély, Márton Makrai, Dávid Márk Nemeskey, and András Kornai. 2016. Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation. In Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, pages 83–89, Berlin, Germany. Association for Computational Linguistics.
- Cite (Informal):
- Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation (Borbély et al., RepEval 2016)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/W16-2515.pdf